Data mining tools and techniques for mining software repositories: A systematic review

Siddiqui, T. and Ahmad, A. (2018) Data mining tools and techniques for mining software repositories: A systematic review. Advances in Intelligent Systems and Computing, 654. pp. 717-726. ISSN 21945357

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Official URL: https://link.springer.com/chapter/10.1007%2F978-98...

Abstract

A software repository contains a historical and valuable wealth of information about overall development of software system (project’s status, progress, and evolution). Mining software repositories (MSR) are one of the interesting and fastest growing fields within software engineering. It focuses on extracting and analyzing the heterogeneous data available in software repositories to uncover interesting, useful, and actionable information about software system and projects. Using well-established data mining tools and techniques, professionals, practitioners, and researchers can explore the potential of this valuable data in order to better understand and manage their complicated projects and also to produce high reliable software system delivered on time and within estimated budget. This paper is an effort to discover problems encountered during development of software projects and the role of mining software repositories to resolve these problems. A comparative study of data mining tools and techniques for mining software repositories has been presented.

Item Type: Article
Uncontrolled Keywords: Heterogeneous data; Mining software repositories (MSR); Software mining
Subjects: Q Science > Q Science (General)
Divisions: Faculties > Faculty of Science > Department of Computer Science
Depositing User: AMU Library
Date Deposited: 19 Jan 2018 04:57
Last Modified: 19 Jan 2018 04:57
URI: http://ir.amu.ac.in/id/eprint/10825

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